A Systematically Assembled Signature of Genes to be Deep-Sequenced for Their Associations with the Blood Pressure Response to Exercise
Linda S. Pescatello 1
Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
2
Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
3
Homer Babbidge Library, Health Sciences, University of Connecticut, Storrs, CT 06269, USA
4
Preventive Cardiology, Hartford Hospital, Hartford, CT 06269, USA
*
Author to whom correspondence should be addressed.
Genes 2019, 10(4), 295; https://doi.org/10.3390/genes10040295
Received: 9 March 2019 / Revised: 4 April 2019 / Accepted: 4 April 2019 / Published: 11 April 2019
(This article belongs to the Special Issue Genetic and Epigenetic Modulation of Cell Functions by Physical Exercise)
Background: Exercise is one of the best nonpharmacologic therapies to treat hypertension. The blood pressure (BP) response to exercise is heritable. Yet, the genetic basis for the antihypertensive effects of exercise remains elusive. Methods: To assemble a prioritized gene signature, we performed a systematic review with a series of Boolean searches in PubMed (including Medline) from earliest coverage. The inclusion criteria were human genes in major BP regulatory pathways reported to be associated with: (1) the BP response to exercise; (2) hypertension in genome-wide association studies (GWAS); (3) the BP response to pharmacotherapy; (4a) physical activity and/or obesity in GWAS; and (4b) BP, physical activity, and/or obesity in non-GWAS. Included GWAS reports disclosed the statistically significant thresholds used for multiple testing. Results: The search yielded 1422 reports. Of these, 57 trials qualified from which we extracted 11 genes under criteria 1, 18 genes under criteria 2, 28 genes under criteria 3, 27 genes under criteria 4a, and 29 genes under criteria 4b. We also included 41 genes identified from our previous work. Conclusions: Deep-sequencing the exons of this systematically assembled signature of genes represents a cost and time efficient approach to investigate the genomic basis for the antihypertensive effects of exercise.
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MDPI and ACS Style
Pescatello, L.S.; Parducci, P.; Livingston, J.; Taylor, B.A. A Systematically Assembled Signature of Genes to be Deep-Sequenced for Their Associations with the Blood Pressure Response to Exercise. Genes 2019, 10, 295.
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